Pandas Profiling Report

Dataset statistics

Number of variables	34
Number of observations	2940
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	781.1 KiB
Average record size in memory	272.0 B

Variable types

Numeric	15
Boolean	3
Categorical	16

Alerts

`Over18` has constant value "True"	Constant
`StandardHours` has constant value "80"	Constant
`Age` is highly correlated with `TotalWorkingYears`	High correlation
`JobLevel` is highly correlated with `MonthlyIncome` and 1 other fields	High correlation
`MonthlyIncome` is highly correlated with `JobLevel` and 1 other fields	High correlation
`PercentSalaryHike` is highly correlated with `PerformanceRating`	High correlation
`PerformanceRating` is highly correlated with `PercentSalaryHike`	High correlation
`TotalWorkingYears` is highly correlated with `Age` and 3 other fields	High correlation
`YearsAtCompany` is highly correlated with `TotalWorkingYears` and 3 other fields	High correlation
`YearsInCurrentRole` is highly correlated with `YearsAtCompany` and 2 other fields	High correlation
`YearsSinceLastPromotion` is highly correlated with `YearsAtCompany` and 1 other fields	High correlation
`YearsWithCurrManager` is highly correlated with `YearsAtCompany` and 1 other fields	High correlation
`Age` is highly correlated with `JobLevel` and 1 other fields	High correlation
`JobLevel` is highly correlated with `Age` and 3 other fields	High correlation
`MonthlyIncome` is highly correlated with `JobLevel` and 2 other fields	High correlation
`PercentSalaryHike` is highly correlated with `PerformanceRating`	High correlation
`PerformanceRating` is highly correlated with `PercentSalaryHike`	High correlation
`TotalWorkingYears` is highly correlated with `Age` and 3 other fields	High correlation
`YearsAtCompany` is highly correlated with `JobLevel` and 5 other fields	High correlation
`YearsInCurrentRole` is highly correlated with `YearsAtCompany` and 2 other fields	High correlation
`YearsSinceLastPromotion` is highly correlated with `YearsAtCompany` and 2 other fields	High correlation
`YearsWithCurrManager` is highly correlated with `YearsAtCompany` and 2 other fields	High correlation
`Age` is highly correlated with `TotalWorkingYears`	High correlation
`JobLevel` is highly correlated with `MonthlyIncome` and 1 other fields	High correlation
`MonthlyIncome` is highly correlated with `JobLevel` and 1 other fields	High correlation
`PercentSalaryHike` is highly correlated with `PerformanceRating`	High correlation
`PerformanceRating` is highly correlated with `PercentSalaryHike`	High correlation
`TotalWorkingYears` is highly correlated with `Age` and 3 other fields	High correlation
`YearsAtCompany` is highly correlated with `TotalWorkingYears` and 2 other fields	High correlation
`YearsInCurrentRole` is highly correlated with `YearsAtCompany` and 1 other fields	High correlation
`YearsWithCurrManager` is highly correlated with `YearsAtCompany` and 1 other fields	High correlation
`Education` is highly correlated with `Over18` and 1 other fields	High correlation
`JobInvolvement` is highly correlated with `Over18` and 1 other fields	High correlation
`BusinessTravel` is highly correlated with `Over18` and 1 other fields	High correlation
`Department` is highly correlated with `JobRole` and 3 other fields	High correlation
`JobRole` is highly correlated with `Department` and 3 other fields	High correlation
`StockOptionLevel` is highly correlated with `Over18` and 2 other fields	High correlation
`OverTime` is highly correlated with `Over18` and 1 other fields	High correlation
`Over18` is highly correlated with `Education` and 17 other fields	High correlation
`StandardHours` is highly correlated with `Education` and 17 other fields	High correlation
`PerformanceRating` is highly correlated with `Over18` and 1 other fields	High correlation
`WorkLifeBalance` is highly correlated with `Over18` and 1 other fields	High correlation
`Gender` is highly correlated with `Over18` and 1 other fields	High correlation
`EducationField` is highly correlated with `Department` and 2 other fields	High correlation
`MaritalStatus` is highly correlated with `StockOptionLevel` and 2 other fields	High correlation
`RelationshipSatisfaction` is highly correlated with `Over18` and 1 other fields	High correlation
`JobLevel` is highly correlated with `JobRole` and 2 other fields	High correlation
`Attrition` is highly correlated with `Over18` and 1 other fields	High correlation
`EnvironmentSatisfaction` is highly correlated with `Over18` and 1 other fields	High correlation
`JobSatisfaction` is highly correlated with `Over18` and 1 other fields	High correlation
`Age` is highly correlated with `JobLevel` and 3 other fields	High correlation
`Department` is highly correlated with `EducationField` and 1 other fields	High correlation
`EducationField` is highly correlated with `Department` and 1 other fields	High correlation
`JobLevel` is highly correlated with `Age` and 6 other fields	High correlation
`JobRole` is highly correlated with `Department` and 4 other fields	High correlation
`MaritalStatus` is highly correlated with `StockOptionLevel`	High correlation
`MonthlyIncome` is highly correlated with `Age` and 4 other fields	High correlation
`PercentSalaryHike` is highly correlated with `PerformanceRating`	High correlation
`PerformanceRating` is highly correlated with `PercentSalaryHike`	High correlation
`StockOptionLevel` is highly correlated with `MaritalStatus`	High correlation
`TotalWorkingYears` is highly correlated with `Age` and 7 other fields	High correlation
`YearsAtCompany` is highly correlated with `Age` and 6 other fields	High correlation
`YearsInCurrentRole` is highly correlated with `JobLevel` and 4 other fields	High correlation
`YearsSinceLastPromotion` is highly correlated with `TotalWorkingYears` and 3 other fields	High correlation
`YearsWithCurrManager` is highly correlated with `JobLevel` and 4 other fields	High correlation
`EmployeeNumber` is uniformly distributed	Uniform
`EmployeeNumber` has unique values	Unique
`NumCompaniesWorked` has 394 (13.4%) zeros	Zeros
`TrainingTimesLastYear` has 108 (3.7%) zeros	Zeros
`YearsAtCompany` has 88 (3.0%) zeros	Zeros
`YearsInCurrentRole` has 488 (16.6%) zeros	Zeros
`YearsSinceLastPromotion` has 1162 (39.5%) zeros	Zeros
`YearsWithCurrManager` has 526 (17.9%) zeros	Zeros

Reproduction

Analysis started	2022-02-28 03:10:36.245378
Analysis finished	2022-02-28 03:11:23.466500
Duration	47.22 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

EmployeeNumber
Real number (ℝ_≥0)

UNIFORM
UNIQUE

Distinct	2940
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1470.5

Minimum	1
Maximum	2940
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	23.1 KiB

Quantile statistics

Minimum	1
5-th percentile	147.95
Q1	735.75
median	1470.5
Q3	2205.25
95-th percentile	2793.05
Maximum	2940
Range	2939
Interquartile range (IQR)	1469.5

Descriptive statistics

Standard deviation	848.849221
Coefficient of variation (CV)	0.5772521054
Kurtosis	-1.2
Mean	1470.5
Median Absolute Deviation (MAD)	735
Skewness	0
Sum	4323270
Variance	720545
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	< 0.1%
1954	1	< 0.1%
1956	1	< 0.1%
1957	1	< 0.1%
1958	1	< 0.1%
1959	1	< 0.1%
1960	1	< 0.1%
1961	1	< 0.1%
1962	1	< 0.1%
1963	1	< 0.1%
Other values (2930)	2930	99.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
2940	1	< 0.1%
2939	1	< 0.1%
2938	1	< 0.1%
2937	1	< 0.1%
2936	1	< 0.1%
2935	1	< 0.1%
2934	1	< 0.1%
2933	1	< 0.1%
2932	1	< 0.1%
2931	1	< 0.1%

Attrition
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.0 KiB

False	2466
True	474

Common Values
Chart

Value	Count	Frequency (%)
False	2466	83.9%
True	474	16.1%

Age
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	43
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	36.92380952

Minimum	18
Maximum	60
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	23.1 KiB

Quantile statistics

Minimum	18
5-th percentile	24
Q1	30
median	36
Q3	43
95-th percentile	54
Maximum	60
Range	42
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	9.133819193
Coefficient of variation (CV)	0.2473693617
Kurtosis	-0.4054998352
Mean	36.92380952
Median Absolute Deviation (MAD)	6
Skewness	0.4130752441
Sum	108556
Variance	83.42665306
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
35	156	5.3%
34	154	5.2%
36	138	4.7%
31	138	4.7%
29	136	4.6%
32	122	4.1%
30	120	4.1%
33	116	3.9%
38	116	3.9%
40	114	3.9%
Other values (33)	1630	55.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
18	16	0.5%
19	18	0.6%
20	22	0.7%
21	26	0.9%
22	32	1.1%
23	28	1.0%
24	52	1.8%
25	52	1.8%
26	78	2.7%
27	96	3.3%

Value	Count	Frequency (%)
60	10	0.3%
59	20	0.7%
58	28	1.0%
57	8	0.3%
56	28	1.0%
55	44	1.5%
54	36	1.2%
53	38	1.3%
52	36	1.2%
51	38	1.3%

BusinessTravel
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

Travel_Rarely	2086
Travel_Frequently	554
Non-Travel	300

Length

Max length	17
Median length	13
Mean length	13.44761905
Min length	10

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Travel_Rarely
2nd row	Travel_Frequently
3rd row	Travel_Rarely
4th row	Travel_Frequently
5th row	Travel_Rarely

Common Values

Value	Count	Frequency (%)
Travel_Rarely	2086	71.0%
Travel_Frequently	554	18.8%
Non-Travel	300	10.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
travel_rarely	2086	71.0%
travel_frequently	554	18.8%
non-travel	300	10.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DailyRate
Real number (ℝ_≥0)

Distinct	886
Distinct (%)	30.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	802.4857143

Minimum	102
Maximum	1499
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	23.1 KiB

Quantile statistics

Minimum	102
5-th percentile	164
Q1	465
median	802
Q3	1157
95-th percentile	1425
Maximum	1499
Range	1397
Interquartile range (IQR)	692

Descriptive statistics

Standard deviation	403.4404468
Coefficient of variation (CV)	0.5027384782
Kurtosis	-1.203817139
Mean	802.4857143
Median Absolute Deviation (MAD)	344
Skewness	-0.003516771484
Sum	2359308
Variance	162764.1941
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
691	12	0.4%
408	10	0.3%
530	10	0.3%
1329	10	0.3%
1082	10	0.3%
329	10	0.3%
829	8	0.3%
1469	8	0.3%
267	8	0.3%
217	8	0.3%
Other values (876)	2846	96.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
102	2	0.1%
103	2	0.1%
104	2	0.1%
105	2	0.1%
106	2	0.1%
107	2	0.1%
109	2	0.1%
111	6	0.2%
115	2	0.1%
116	4	0.1%

Value	Count	Frequency (%)
1499	2	0.1%
1498	2	0.1%
1496	4	0.1%
1495	6	0.2%
1492	2	0.1%
1490	8	0.3%
1488	2	0.1%
1485	6	0.2%
1482	2	0.1%
1480	4	0.1%

Department
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

Research & Development	1922
Sales	892
Human Resources	126

Length

Max length	22
Median length	22
Mean length	16.54217687
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sales
2nd row	Research & Development
3rd row	Research & Development
4th row	Research & Development
5th row	Research & Development

Common Values

Value	Count	Frequency (%)
Research & Development	1922	65.4%
Sales	892	30.3%
Human Resources	126	4.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
research	1922	27.8%
	1922	27.8%
development	1922	27.8%
sales	892	12.9%
human	126	1.8%
resources	126	1.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DistanceFromHome
Real number (ℝ_≥0)

Distinct	29
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.192517007

Minimum	1
Maximum	29
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	23.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	7
Q3	14
95-th percentile	26
Maximum	29
Range	28
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	8.105485131
Coefficient of variation (CV)	0.881748179
Kurtosis	-0.2264931379
Mean	9.192517007
Median Absolute Deviation (MAD)	5
Skewness	0.9576287023
Sum	27026
Variance	65.69888921
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
2	422	14.4%
1	416	14.1%
10	172	5.9%
9	170	5.8%
3	168	5.7%
7	168	5.7%
8	160	5.4%
5	130	4.4%
4	128	4.4%
6	118	4.0%
Other values (19)	888	30.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	416	14.1%
2	422	14.4%
3	168	5.7%
4	128	4.4%
5	130	4.4%
6	118	4.0%
7	168	5.7%
8	160	5.4%
9	170	5.8%
10	172	5.9%

Value	Count	Frequency (%)
29	54	1.8%
28	46	1.6%
27	24	0.8%
26	50	1.7%
25	50	1.7%
24	56	1.9%
23	54	1.8%
22	38	1.3%
21	36	1.2%
20	50	1.7%

Education
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

3	1144
4	796
2	564
1	340
5	96

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	2
4th row	4
5th row	1

Common Values

Value	Count	Frequency (%)
3	1144	38.9%
4	796	27.1%
2	564	19.2%
1	340	11.6%
5	96	3.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
3	1144	38.9%
4	796	27.1%
2	564	19.2%
1	340	11.6%
5	96	3.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

EducationField
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

Life Sciences	1212
Medical	928
Marketing	318
Technical Degree	264
Other	164

Length

Max length	16
Median length	13
Mean length	10.53333333
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Life Sciences
2nd row	Life Sciences
3rd row	Other
4th row	Life Sciences
5th row	Medical

Common Values

Value	Count	Frequency (%)
Life Sciences	1212	41.2%
Medical	928	31.6%
Marketing	318	10.8%
Technical Degree	264	9.0%
Other	164	5.6%
Human Resources	54	1.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
life	1212	27.1%
sciences	1212	27.1%
medical	928	20.8%
marketing	318	7.1%
technical	264	5.9%
degree	264	5.9%
other	164	3.7%
human	54	1.2%
resources	54	1.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

EnvironmentSatisfaction
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

3	906
4	892
2	574
1	568

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	3
3rd row	4
4th row	4
5th row	1

Common Values

Value	Count	Frequency (%)
3	906	30.8%
4	892	30.3%
2	574	19.5%
1	568	19.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
3	906	30.8%
4	892	30.3%
2	574	19.5%
1	568	19.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Gender
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

Male	1764
Female	1176

Length

Max length	6
Median length	4
Mean length	4.8
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Female
2nd row	Male
3rd row	Male
4th row	Female
5th row	Male

Common Values

Value	Count	Frequency (%)
Male	1764	60.0%
Female	1176	40.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
male	1764	60.0%
female	1176	40.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HourlyRate
Real number (ℝ_≥0)

Distinct	71
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	65.89115646

Minimum	30
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	23.1 KiB

Quantile statistics

Minimum	30
5-th percentile	33
Q1	48
median	66
Q3	84
95-th percentile	97
Maximum	100
Range	70
Interquartile range (IQR)	36

Descriptive statistics

Standard deviation	20.32596874
Coefficient of variation (CV)	0.308477948
Kurtosis	-1.196405417
Mean	65.89115646
Median Absolute Deviation (MAD)	18
Skewness	-0.03229445229
Sum	193720
Variance	413.1450051
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
66	58	2.0%
98	56	1.9%
42	56	1.9%
48	56	1.9%
84	56	1.9%
57	54	1.8%
79	54	1.8%
96	54	1.8%
54	52	1.8%
52	52	1.8%
Other values (61)	2392	81.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
30	38	1.3%
31	30	1.0%
32	48	1.6%
33	38	1.3%
34	24	0.8%
35	36	1.2%
36	36	1.2%
37	36	1.2%
38	26	0.9%
39	34	1.2%

Value	Count	Frequency (%)
100	38	1.3%
99	40	1.4%
98	56	1.9%
97	42	1.4%
96	54	1.8%
95	46	1.6%
94	44	1.5%
93	32	1.1%
92	50	1.7%
91	36	1.2%

JobInvolvement
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

3	1736
2	750
4	288
1	166

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	2
3rd row	2
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
3	1736	59.0%
2	750	25.5%
4	288	9.8%
1	166	5.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
3	1736	59.0%
2	750	25.5%
4	288	9.8%
1	166	5.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

JobLevel
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

1	1086
2	1068
3	436
4	212
5	138

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	1086	36.9%
2	1068	36.3%
3	436	14.8%
4	212	7.2%
5	138	4.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	1086	36.9%
2	1068	36.3%
3	436	14.8%
4	212	7.2%
5	138	4.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

JobRole
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

Sales Executive	652
Research Scientist	584
Laboratory Technician	518
Manufacturing Director	290
Healthcare Representative	262
Other values (4)	634

Length

Max length	25
Median length	18
Mean length	18.0707483
Min length	7

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sales Executive
2nd row	Research Scientist
3rd row	Laboratory Technician
4th row	Research Scientist
5th row	Laboratory Technician

Common Values

Value	Count	Frequency (%)
Sales Executive	652	22.2%
Research Scientist	584	19.9%
Laboratory Technician	518	17.6%
Manufacturing Director	290	9.9%
Healthcare Representative	262	8.9%
Manager	204	6.9%
Sales Representative	166	5.6%
Research Director	160	5.4%
Human Resources	104	3.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
sales	818	14.4%
research	744	13.1%
executive	652	11.5%
scientist	584	10.3%
laboratory	518	9.1%
technician	518	9.1%
director	450	7.9%
representative	428	7.5%
manufacturing	290	5.1%
healthcare	262	4.6%
Other values (3)	412	7.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

JobSatisfaction
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

4	918
3	884
1	578
2	560

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	2
3rd row	3
4th row	3
5th row	2

Common Values

Value	Count	Frequency (%)
4	918	31.2%
3	884	30.1%
1	578	19.7%
2	560	19.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
4	918	31.2%
3	884	30.1%
1	578	19.7%
2	560	19.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

MaritalStatus
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

Married	1346
Single	940
Divorced	654

Length

Max length	8
Median length	7
Mean length	6.902721088
Min length	6

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Single
2nd row	Married
3rd row	Single
4th row	Married
5th row	Married

Common Values

Value	Count	Frequency (%)
Married	1346	45.8%
Single	940	32.0%
Divorced	654	22.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
married	1346	45.8%
single	940	32.0%
divorced	654	22.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

MonthlyIncome
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1349
Distinct (%)	45.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6502.931293

Minimum	1009
Maximum	19999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	23.1 KiB

Quantile statistics

Minimum	1009
5-th percentile	2097
Q1	2911
median	4919
Q3	8380
95-th percentile	17856
Maximum	19999
Range	18990
Interquartile range (IQR)	5469

Descriptive statistics

Standard deviation	4707.15577
Coefficient of variation (CV)	0.7238513768
Kurtosis	1.001480439
Mean	6502.931293
Median Absolute Deviation (MAD)	2199
Skewness	1.369117141
Sum	19118618
Variance	22157315.44
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2342	8	0.3%
6142	6	0.2%
2741	6	0.2%
2559	6	0.2%
2610	6	0.2%
2451	6	0.2%
5562	6	0.2%
3452	6	0.2%
2380	6	0.2%
6347	6	0.2%
Other values (1339)	2878	97.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1009	2	0.1%
1051	2	0.1%
1052	2	0.1%
1081	2	0.1%
1091	2	0.1%
1102	2	0.1%
1118	2	0.1%
1129	2	0.1%
1200	2	0.1%
1223	2	0.1%

Value	Count	Frequency (%)
19999	2	0.1%
19973	2	0.1%
19943	2	0.1%
19926	2	0.1%
19859	2	0.1%
19847	2	0.1%
19845	2	0.1%
19833	2	0.1%
19740	2	0.1%
19717	2	0.1%

MonthlyRate
Real number (ℝ_≥0)

Distinct	1427
Distinct (%)	48.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14313.1034

Minimum	2094
Maximum	26999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	23.1 KiB

Quantile statistics

Minimum	2094
5-th percentile	3376
Q1	8045
median	14235.5
Q3	20462
95-th percentile	25440
Maximum	26999
Range	24905
Interquartile range (IQR)	12417

Descriptive statistics

Standard deviation	7116.575021
Coefficient of variation (CV)	0.4972069873
Kurtosis	-1.214931492
Mean	14313.1034
Median Absolute Deviation (MAD)	6206.5
Skewness	0.01856832054
Sum	42080524
Variance	50645640.03
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4223	6	0.2%
9150	6	0.2%
9558	4	0.1%
12858	4	0.1%
22074	4	0.1%
25326	4	0.1%
9096	4	0.1%
13008	4	0.1%
12355	4	0.1%
7744	4	0.1%
Other values (1417)	2896	98.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2094	2	0.1%
2097	2	0.1%
2104	2	0.1%
2112	2	0.1%
2122	2	0.1%
2125	4	0.1%
2137	2	0.1%
2227	2	0.1%
2243	2	0.1%
2253	2	0.1%

Value	Count	Frequency (%)
26999	2	0.1%
26997	2	0.1%
26968	2	0.1%
26959	2	0.1%
26956	2	0.1%
26933	2	0.1%
26914	2	0.1%
26897	2	0.1%
26894	2	0.1%
26862	2	0.1%

NumCompaniesWorked
Real number (ℝ_≥0)

ZEROS

Distinct	10
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.693197279

Minimum	0
Maximum	9
Zeros	394
Zeros (%)	13.4%
Negative	0
Negative (%)	0.0%
Memory size	23.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	4
95-th percentile	8
Maximum	9
Range	9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.497583994
Coefficient of variation (CV)	0.927367636
Kurtosis	0.008154234519
Mean	2.693197279
Median Absolute Deviation (MAD)	1
Skewness	1.025946912
Sum	7918
Variance	6.237925807
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	1042	35.4%
0	394	13.4%
3	318	10.8%
2	292	9.9%
4	278	9.5%
7	148	5.0%
6	140	4.8%
5	126	4.3%
9	104	3.5%
8	98	3.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	394	13.4%
1	1042	35.4%
2	292	9.9%
3	318	10.8%
4	278	9.5%
5	126	4.3%
6	140	4.8%
7	148	5.0%
8	98	3.3%
9	104	3.5%

Value	Count	Frequency (%)
9	104	3.5%
8	98	3.3%
7	148	5.0%
6	140	4.8%
5	126	4.3%
4	278	9.5%
3	318	10.8%
2	292	9.9%
1	1042	35.4%
0	394	13.4%

Over18
Boolean

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.0 KiB

True	2940

Common Values
Chart

Value	Count	Frequency (%)
True	2940	100.0%

OverTime
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.0 KiB

False	2108
True	832

Common Values
Chart

Value	Count	Frequency (%)
False	2108	71.7%
True	832	28.3%

PercentSalaryHike
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	15
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.20952381

Minimum	11
Maximum	25
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	23.1 KiB

Quantile statistics

Minimum	11
5-th percentile	11
Q1	12
median	14
Q3	18
95-th percentile	22
Maximum	25
Range	14
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.659315013
Coefficient of variation (CV)	0.2405936609
Kurtosis	-0.3021290683
Mean	15.20952381
Median Absolute Deviation (MAD)	2
Skewness	0.8207086405
Sum	44716
Variance	13.39058637
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
11	420	14.3%
13	418	14.2%
14	402	13.7%
12	396	13.5%
15	202	6.9%
18	178	6.1%
17	164	5.6%
16	156	5.3%
19	152	5.2%
22	112	3.8%
Other values (5)	340	11.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
11	420	14.3%
12	396	13.5%
13	418	14.2%
14	402	13.7%
15	202	6.9%
16	156	5.3%
17	164	5.6%
18	178	6.1%
19	152	5.2%
20	110	3.7%

Value	Count	Frequency (%)
25	36	1.2%
24	42	1.4%
23	56	1.9%
22	112	3.8%
21	96	3.3%
20	110	3.7%
19	152	5.2%
18	178	6.1%
17	164	5.6%
16	156	5.3%

PerformanceRating
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

3	2488
4	452

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	4
3rd row	3
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
3	2488	84.6%
4	452	15.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
3	2488	84.6%
4	452	15.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

RelationshipSatisfaction
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

3	918
4	864
2	606
1	552

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	4
3rd row	2
4th row	3
5th row	4

Common Values

Value	Count	Frequency (%)
3	918	31.2%
4	864	29.4%
2	606	20.6%
1	552	18.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
3	918	31.2%
4	864	29.4%
2	606	20.6%
1	552	18.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

StandardHours
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

80	2940

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	80
2nd row	80
3rd row	80
4th row	80
5th row	80

Common Values

Value	Count	Frequency (%)
80	2940	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
80	2940	100.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

StockOptionLevel
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

0	1262
1	1192
2	316
3	170

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	1262	42.9%
1	1192	40.5%
2	316	10.7%
3	170	5.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	1262	42.9%
1	1192	40.5%
2	316	10.7%
3	170	5.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

TotalWorkingYears
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	40
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.27959184

Minimum	0
Maximum	40
Zeros	22
Zeros (%)	0.7%
Negative	0
Negative (%)	0.0%
Memory size	23.1 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	6
median	10
Q3	15
95-th percentile	28
Maximum	40
Range	40
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	7.77945785
Coefficient of variation (CV)	0.6896932055
Kurtosis	0.9146652211
Mean	11.27959184
Median Absolute Deviation (MAD)	4
Skewness	1.116601334
Sum	33162
Variance	60.51996445
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
10	404	13.7%
6	250	8.5%
8	206	7.0%
9	192	6.5%
5	176	6.0%
7	162	5.5%
1	162	5.5%
4	126	4.3%
12	96	3.3%
3	84	2.9%
Other values (30)	1082	36.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	22	0.7%
1	162	5.5%
2	62	2.1%
3	84	2.9%
4	126	4.3%
5	176	6.0%
6	250	8.5%
7	162	5.5%
8	206	7.0%
9	192	6.5%

Value	Count	Frequency (%)
40	4	0.1%
38	2	0.1%
37	8	0.3%
36	12	0.4%
35	6	0.2%
34	10	0.3%
33	14	0.5%
32	18	0.6%
31	18	0.6%
30	14	0.5%

TrainingTimesLastYear
Real number (ℝ_≥0)

ZEROS

Distinct	7
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.799319728

Minimum	0
Maximum	6
Zeros	108
Zeros (%)	3.7%
Negative	0
Negative (%)	0.0%
Memory size	23.1 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	3
Q3	3
95-th percentile	5
Maximum	6
Range	6
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.289051264
Coefficient of variation (CV)	0.4604873288
Kurtosis	0.4921087248
Mean	2.799319728
Median Absolute Deviation (MAD)	1
Skewness	0.5528417007
Sum	8230
Variance	1.661653161
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
2	1094	37.2%
3	982	33.4%
4	246	8.4%
5	238	8.1%
1	142	4.8%
6	130	4.4%
0	108	3.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	108	3.7%
1	142	4.8%
2	1094	37.2%
3	982	33.4%
4	246	8.4%
5	238	8.1%
6	130	4.4%

Value	Count	Frequency (%)
6	130	4.4%
5	238	8.1%
4	246	8.4%
3	982	33.4%
2	1094	37.2%
1	142	4.8%
0	108	3.7%

WorkLifeBalance
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	23.1 KiB

3	1786
2	688
4	306
1	160

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	3
3rd row	3
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
3	1786	60.7%
2	688	23.4%
4	306	10.4%
1	160	5.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
3	1786	60.7%
2	688	23.4%
4	306	10.4%
1	160	5.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

YearsAtCompany
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	37
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.008163265

Minimum	0
Maximum	40
Zeros	88
Zeros (%)	3.0%
Negative	0
Negative (%)	0.0%
Memory size	23.1 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	5
Q3	9
95-th percentile	20
Maximum	40
Range	40
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	6.125482783
Coefficient of variation (CV)	0.8740496691
Kurtosis	3.926771682
Mean	7.008163265
Median Absolute Deviation (MAD)	3
Skewness	1.763628341
Sum	20604
Variance	37.52153933
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
5	392	13.3%
1	342	11.6%
3	256	8.7%
2	254	8.6%
10	240	8.2%
4	220	7.5%
7	180	6.1%
9	164	5.6%
8	160	5.4%
6	152	5.2%
Other values (27)	580	19.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	88	3.0%
1	342	11.6%
2	254	8.6%
3	256	8.7%
4	220	7.5%
5	392	13.3%
6	152	5.2%
7	180	6.1%
8	160	5.4%
9	164	5.6%

Value	Count	Frequency (%)
40	2	0.1%
37	2	0.1%
36	4	0.1%
34	2	0.1%
33	10	0.3%
32	6	0.2%
31	6	0.2%
30	2	0.1%
29	4	0.1%
27	4	0.1%

YearsInCurrentRole
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	19
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.229251701

Minimum	0
Maximum	18
Zeros	488
Zeros (%)	16.6%
Negative	0
Negative (%)	0.0%
Memory size	23.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	3
Q3	7
95-th percentile	11
Maximum	18
Range	18
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.622520593
Coefficient of variation (CV)	0.8565393713
Kurtosis	0.4745664051
Mean	4.229251701
Median Absolute Deviation (MAD)	3
Skewness	0.9168946757
Sum	12434
Variance	13.12265545
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
2	744	25.3%
0	488	16.6%
7	444	15.1%
3	270	9.2%
4	208	7.1%
8	178	6.1%
9	134	4.6%
1	114	3.9%
6	74	2.5%
5	72	2.4%
Other values (9)	214	7.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	488	16.6%
1	114	3.9%
2	744	25.3%
3	270	9.2%
4	208	7.1%
5	72	2.4%
6	74	2.5%
7	444	15.1%
8	178	6.1%
9	134	4.6%

Value	Count	Frequency (%)
18	4	0.1%
17	8	0.3%
16	14	0.5%
15	16	0.5%
14	22	0.7%
13	28	1.0%
12	20	0.7%
11	44	1.5%
10	58	2.0%
9	134	4.6%

YearsSinceLastPromotion
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	16
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.187755102

Minimum	0
Maximum	15
Zeros	1162
Zeros (%)	39.5%
Negative	0
Negative (%)	0.0%
Memory size	23.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	3
95-th percentile	9
Maximum	15
Range	15
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	3.221882014
Coefficient of variation (CV)	1.472688607
Kurtosis	3.604485231
Mean	2.187755102
Median Absolute Deviation (MAD)	1
Skewness	1.983276643
Sum	6432
Variance	10.38052371
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
0	1162	39.5%
1	714	24.3%
2	318	10.8%
7	152	5.2%
4	122	4.1%
3	104	3.5%
5	90	3.1%
6	64	2.2%
11	48	1.6%
8	36	1.2%
Other values (6)	130	4.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1162	39.5%
1	714	24.3%
2	318	10.8%
3	104	3.5%
4	122	4.1%
5	90	3.1%
6	64	2.2%
7	152	5.2%
8	36	1.2%
9	34	1.2%

Value	Count	Frequency (%)
15	26	0.9%
14	18	0.6%
13	20	0.7%
12	20	0.7%
11	48	1.6%
10	12	0.4%
9	34	1.2%
8	36	1.2%
7	152	5.2%
6	64	2.2%

YearsWithCurrManager
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	18
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.123129252

Minimum	0
Maximum	17
Zeros	526
Zeros (%)	17.9%
Negative	0
Negative (%)	0.0%
Memory size	23.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	3
Q3	7
95-th percentile	10
Maximum	17
Range	17
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.567529037
Coefficient of variation (CV)	0.8652479267
Kurtosis	0.1687248825
Mean	4.123129252
Median Absolute Deviation (MAD)	3
Skewness	0.8330253638
Sum	12122
Variance	12.72726343
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
2	688	23.4%
0	526	17.9%
7	432	14.7%
3	284	9.7%
8	214	7.3%
4	196	6.7%
1	152	5.2%
9	128	4.4%
5	62	2.1%
6	58	2.0%
Other values (8)	200	6.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	526	17.9%
1	152	5.2%
2	688	23.4%
3	284	9.7%
4	196	6.7%
5	62	2.1%
6	58	2.0%
7	432	14.7%
8	214	7.3%
9	128	4.4%

Value	Count	Frequency (%)
17	14	0.5%
16	4	0.1%
15	10	0.3%
14	10	0.3%
13	28	1.0%
12	36	1.2%
11	44	1.5%
10	54	1.8%
9	128	4.4%
8	214	7.3%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	EmployeeNumber	Attrition	Age	BusinessTravel	DailyRate	Department	DistanceFromHome	Education	EducationField	EnvironmentSatisfaction	Gender	HourlyRate	JobInvolvement	JobLevel	JobRole	JobSatisfaction	MaritalStatus	MonthlyIncome	MonthlyRate	NumCompaniesWorked	Over18	OverTime	PercentSalaryHike	PerformanceRating	RelationshipSatisfaction	StandardHours	StockOptionLevel	TotalWorkingYears	TrainingTimesLastYear	WorkLifeBalance	YearsAtCompany	YearsInCurrentRole	YearsSinceLastPromotion	YearsWithCurrManager
0	1	Yes	41	Travel_Rarely	1102	Sales	1	2	Life Sciences	2	Female	94	3	2	Sales Executive	4	Single	5993	19479	8	Y	Yes	11	3	1	80	0	8	0	1	6	4	0	5
1	2	No	49	Travel_Frequently	279	Research & Development	8	1	Life Sciences	3	Male	61	2	2	Research Scientist	2	Married	5130	24907	1	Y	No	23	4	4	80	1	10	3	3	10	7	1	7
2	3	Yes	37	Travel_Rarely	1373	Research & Development	2	2	Other	4	Male	92	2	1	Laboratory Technician	3	Single	2090	2396	6	Y	Yes	15	3	2	80	0	7	3	3	0	0	0	0
3	4	No	33	Travel_Frequently	1392	Research & Development	3	4	Life Sciences	4	Female	56	3	1	Research Scientist	3	Married	2909	23159	1	Y	Yes	11	3	3	80	0	8	3	3	8	7	3	0
4	5	No	27	Travel_Rarely	591	Research & Development	2	1	Medical	1	Male	40	3	1	Laboratory Technician	2	Married	3468	16632	9	Y	No	12	3	4	80	1	6	3	3	2	2	2	2
5	6	No	32	Travel_Frequently	1005	Research & Development	2	2	Life Sciences	4	Male	79	3	1	Laboratory Technician	4	Single	3068	11864	0	Y	No	13	3	3	80	0	8	2	2	7	7	3	6
6	7	No	59	Travel_Rarely	1324	Research & Development	3	3	Medical	3	Female	81	4	1	Laboratory Technician	1	Married	2670	9964	4	Y	Yes	20	4	1	80	3	12	3	2	1	0	0	0
7	8	No	30	Travel_Rarely	1358	Research & Development	24	1	Life Sciences	4	Male	67	3	1	Laboratory Technician	3	Divorced	2693	13335	1	Y	No	22	4	2	80	1	1	2	3	1	0	0	0
8	9	No	38	Travel_Frequently	216	Research & Development	23	3	Life Sciences	4	Male	44	2	3	Manufacturing Director	3	Single	9526	8787	0	Y	No	21	4	2	80	0	10	2	3	9	7	1	8
9	10	No	36	Travel_Rarely	1299	Research & Development	27	3	Medical	3	Male	94	3	2	Healthcare Representative	3	Married	5237	16577	6	Y	No	13	3	2	80	2	17	3	2	7	7	7	7

Last rows

	EmployeeNumber	Attrition	Age	BusinessTravel	DailyRate	Department	DistanceFromHome	Education	EducationField	EnvironmentSatisfaction	Gender	HourlyRate	JobInvolvement	JobLevel	JobRole	JobSatisfaction	MaritalStatus	MonthlyIncome	MonthlyRate	NumCompaniesWorked	Over18	OverTime	PercentSalaryHike	PerformanceRating	RelationshipSatisfaction	StandardHours	StockOptionLevel	TotalWorkingYears	TrainingTimesLastYear	WorkLifeBalance	YearsAtCompany	YearsInCurrentRole	YearsSinceLastPromotion	YearsWithCurrManager
2930	2931	No	29	Travel_Rarely	468	Research & Development	28	4	Medical	4	Female	73	2	1	Research Scientist	1	Single	3785	8489	1	Y	No	14	3	2	80	0	5	3	1	5	4	0	4
2931	2932	Yes	50	Travel_Rarely	410	Sales	28	3	Marketing	4	Male	39	2	3	Sales Executive	1	Divorced	10854	16586	4	Y	Yes	13	3	2	80	1	20	3	3	3	2	2	0
2932	2933	No	39	Travel_Rarely	722	Sales	24	1	Marketing	2	Female	60	2	4	Sales Executive	4	Married	12031	8828	0	Y	No	11	3	1	80	1	21	2	2	20	9	9	6
2933	2934	No	31	Non-Travel	325	Research & Development	5	3	Medical	2	Male	74	3	2	Manufacturing Director	1	Single	9936	3787	0	Y	No	19	3	2	80	0	10	2	3	9	4	1	7
2934	2935	No	26	Travel_Rarely	1167	Sales	5	3	Other	4	Female	30	2	1	Sales Representative	3	Single	2966	21378	0	Y	No	18	3	4	80	0	5	2	3	4	2	0	0
2935	2936	No	36	Travel_Frequently	884	Research & Development	23	2	Medical	3	Male	41	4	2	Laboratory Technician	4	Married	2571	12290	4	Y	No	17	3	3	80	1	17	3	3	5	2	0	3
2936	2937	No	39	Travel_Rarely	613	Research & Development	6	1	Medical	4	Male	42	2	3	Healthcare Representative	1	Married	9991	21457	4	Y	No	15	3	1	80	1	9	5	3	7	7	1	7
2937	2938	No	27	Travel_Rarely	155	Research & Development	4	3	Life Sciences	2	Male	87	4	2	Manufacturing Director	2	Married	6142	5174	1	Y	Yes	20	4	2	80	1	6	0	3	6	2	0	3
2938	2939	No	49	Travel_Frequently	1023	Sales	2	3	Medical	4	Male	63	2	2	Sales Executive	2	Married	5390	13243	2	Y	No	14	3	4	80	0	17	3	2	9	6	0	8
2939	2940	No	34	Travel_Rarely	628	Research & Development	8	3	Medical	2	Male	82	4	2	Laboratory Technician	3	Married	4404	10228	2	Y	No	12	3	1	80	0	6	3	4	4	3	1	2

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script